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Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space

  • Buse Gul Atli
  • , Yoan Miche
  • , Aapo Kalliola
  • , Ian Oliver
  • , Silke Holtmanns
  • , Amaury Lendasse
  • Aalto University
  • Nokia
  • University of Iowa

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)848-863
Number of pages16
JournalCognitive Computation
Volume10
Issue number5
DOIs
StatePublished - Oct 1 2018
Externally publishedYes

ASJC Scopus Subject Areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Cognitive Neuroscience

Keywords

  • Extreme learning machine
  • Hierarchical clustering
  • Intrusion detection
  • Network behavior analysis
  • Probability density function

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